Comparison of estimation methods for creating small area rates of acute myocardial infarction among Medicare beneficiaries in California |
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| Affiliation: | 1. Department of Statistics, College of Computing and Informatics, Haramaya University, P.O.Box 138, Dire Dawa, Ethiopia;2. College of Health and Medical Sciences, Haramaya University, P.O. Box 1494, Harar, Ethiopia;3. Kersa Health and Demographic Surveillance System (Kersa HDSS), P.O. Box 235, Harar, Ethiopia;1. Istituto di Geologia Ambientale e Geoingegneria (IGAG, CNR), Area della Ricerca di Roma RM1, Via Salaria km 29,300, C.P. 10, I-00016, Monterotondo Stazione, Rome, Italy;2. Dipartimento di Scienze, University Roma Tre, Largo S. Leonardo Murialdo, 1, I-00146 Rome, Italy;3. Institute of Geosciences, Energy and Environment, Polytechnic University of Tirana, Albania;4. Institut des Sciences de l''Évolution, UMR 5554/CNRS—Palaeoenvironments, Université Montpellier 2, C.P. 061, Place E. Bataillon, F34095 Montpellier, Cedex 5, France;5. Dipartimento di Scienze della Terra, University of Pisa, Via S. Maria, 53, I-56126 Pisa, Italy;6. Istituto Nazionale di Geofisica e Vulcanologia, Sez. Pisa, Pisa, Italy;7. IGG-CNR, Sez. Pisa, Pisa, Italy;8. Dipartimento di Biologia Ambientale, Università ‘La Sapienza’, P.le A. Moro, 5, I-00185 Rome, Italy;9. G & G Scientist, CGGVeritas, Multi-Client & New Ventures, Lilleakerveien 6A, Oslo, Norway;10. Academy of Science, Sheshi Fan S. Noli, Nr. 4, Tirana, Albania |
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| Abstract: | Creating local population health measures from administrative data would be useful for health policy and public health monitoring purposes. While a wide range of options – from simple spatial smoothers to model-based methods – for estimating such rates exists, there are relatively few side-by-side comparisons, especially not with real-world data. In this paper, we compare methods for creating local estimates of acute myocardial infarction rates from Medicare claims data. A Bayesian Monte Carlo Markov Chain estimator that incorporated spatial and local random effects performed best, followed by a method-of-moments spatial Empirical Bayes estimator. As the former is more complicated and time-consuming, spatial linear Empirical Bayes methods may represent a good alternative for non-specialist investigators. |
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| Keywords: | Medicare Myocardial Infarction Spatial Analysis Local Disease Rates Markov Chains |
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